mirror of
https://github.com/MLSysBook/TinyTorch.git
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b47c8ef259
��️ Major architectural improvement implementing clean separation of concerns: ✨ NEW: Activations Module - Complete activations module with ReLU, Sigmoid, Tanh implementations - Educational NBDev structure with student TODOs + instructor solutions - Comprehensive testing suite (24 tests) with mathematical correctness validation - Visual learning features with matplotlib plotting (disabled during testing) - Clean export to tinytorch.core.activations 🔧 REFACTOR: Layers Module - Removed duplicate activation function implementations - Clean import from activations module: 'from tinytorch.core.activations import ReLU, Sigmoid, Tanh' - Updated documentation to reflect modular architecture - Preserved all existing functionality while improving code organization 🧪 TESTING: Comprehensive Test Coverage - All 24 activations tests passing ✅ - All 17 layers tests passing ✅ - Integration tests verify clean architecture works end-to-end - CLI testing with 'tito test --module' works for both modules 📦 ARCHITECTURE: Clean Dependency Graph - activations (math functions) → layers (building blocks) → networks (applications) - Separation of concerns: pure math vs. neural network components - Reusable components across future modules - Single source of truth for activation implementations �� PEDAGOGY: Enhanced Learning Experience - Week-sized chunks: students master activations, then build layers - Clear progression from mathematical foundations to applications - Real-world software architecture patterns - Modular design principles in practice This establishes the foundation for scalable, maintainable ML systems education.
72 lines
7.8 KiB
Python
72 lines
7.8 KiB
Python
# Autogenerated by nbdev
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d = { 'settings': { 'branch': 'main',
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'doc_baseurl': '/TinyTorch/',
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'doc_host': 'https://tinytorch.github.io',
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'git_url': 'https://github.com/tinytorch/TinyTorch/',
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'lib_path': 'tinytorch'},
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'syms': { 'tinytorch.core.activations': {},
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'tinytorch.core.layers': { 'tinytorch.core.layers.Dense': ('layers/layers_dev.html#dense', 'tinytorch/core/layers.py'),
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'tinytorch.core.layers.Dense.__call__': ( 'layers/layers_dev.html#dense.__call__',
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'tinytorch/core/layers.py'),
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'tinytorch.core.layers.Dense.__init__': ( 'layers/layers_dev.html#dense.__init__',
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'tinytorch/core/layers.py'),
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'tinytorch.core.layers.Dense.forward': ( 'layers/layers_dev.html#dense.forward',
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'tinytorch/core/layers.py'),
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'tinytorch.core.layers.ReLU': ('layers/layers_dev.html#relu', 'tinytorch/core/layers.py'),
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'tinytorch.core.layers.ReLU.__call__': ( 'layers/layers_dev.html#relu.__call__',
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'tinytorch/core/layers.py'),
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'tinytorch.core.layers.ReLU.forward': ( 'layers/layers_dev.html#relu.forward',
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'tinytorch/core/layers.py'),
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'tinytorch.core.layers.Sigmoid': ('layers/layers_dev.html#sigmoid', 'tinytorch/core/layers.py'),
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'tinytorch.core.layers.Sigmoid.__call__': ( 'layers/layers_dev.html#sigmoid.__call__',
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'tinytorch/core/layers.py'),
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'tinytorch.core.layers.Sigmoid.forward': ( 'layers/layers_dev.html#sigmoid.forward',
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'tinytorch/core/layers.py'),
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'tinytorch.core.layers.Tanh': ('layers/layers_dev.html#tanh', 'tinytorch/core/layers.py'),
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'tinytorch.core.layers.Tanh.__call__': ( 'layers/layers_dev.html#tanh.__call__',
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'tinytorch/core/layers.py'),
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'tinytorch.core.layers.Tanh.forward': ( 'layers/layers_dev.html#tanh.forward',
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'tinytorch/core/layers.py')},
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'tinytorch.core.tensor': { 'tinytorch.core.tensor.Tensor': ('tensor/tensor_dev.html#tensor', 'tinytorch/core/tensor.py'),
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'tinytorch.core.tensor.Tensor.__init__': ( 'tensor/tensor_dev.html#tensor.__init__',
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'tinytorch/core/tensor.py'),
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'tinytorch.core.tensor.Tensor.__repr__': ( 'tensor/tensor_dev.html#tensor.__repr__',
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'tinytorch/core/tensor.py'),
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'tinytorch.core.tensor.Tensor.data': ( 'tensor/tensor_dev.html#tensor.data',
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'tinytorch/core/tensor.py'),
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'tinytorch.core.tensor.Tensor.dtype': ( 'tensor/tensor_dev.html#tensor.dtype',
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'tinytorch/core/tensor.py'),
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'tinytorch.core.tensor.Tensor.shape': ( 'tensor/tensor_dev.html#tensor.shape',
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'tinytorch/core/tensor.py'),
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'tinytorch.core.tensor.Tensor.size': ( 'tensor/tensor_dev.html#tensor.size',
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'tinytorch/core/tensor.py'),
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'tinytorch.core.tensor._add_arithmetic_ops': ( 'tensor/tensor_dev.html#_add_arithmetic_ops',
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'tinytorch/core/tensor.py'),
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'tinytorch.core.tensor._add_utility_methods': ( 'tensor/tensor_dev.html#_add_utility_methods',
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'tinytorch/core/tensor.py')},
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'tinytorch.core.utils': { 'tinytorch.core.utils.DeveloperProfile': ( 'setup/setup_dev.html#developerprofile',
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'tinytorch/core/utils.py'),
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'tinytorch.core.utils.DeveloperProfile.__init__': ( 'setup/setup_dev.html#developerprofile.__init__',
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'tinytorch/core/utils.py'),
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'tinytorch.core.utils.DeveloperProfile.__str__': ( 'setup/setup_dev.html#developerprofile.__str__',
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'tinytorch/core/utils.py'),
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'tinytorch.core.utils.DeveloperProfile._load_default_flame': ( 'setup/setup_dev.html#developerprofile._load_default_flame',
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'tinytorch/core/utils.py'),
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'tinytorch.core.utils.DeveloperProfile.get_ascii_art': ( 'setup/setup_dev.html#developerprofile.get_ascii_art',
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'tinytorch/core/utils.py'),
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'tinytorch.core.utils.DeveloperProfile.get_full_profile': ( 'setup/setup_dev.html#developerprofile.get_full_profile',
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'tinytorch/core/utils.py'),
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'tinytorch.core.utils.DeveloperProfile.get_signature': ( 'setup/setup_dev.html#developerprofile.get_signature',
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'tinytorch/core/utils.py'),
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'tinytorch.core.utils.SystemInfo': ('setup/setup_dev.html#systeminfo', 'tinytorch/core/utils.py'),
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'tinytorch.core.utils.SystemInfo.__init__': ( 'setup/setup_dev.html#systeminfo.__init__',
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'tinytorch/core/utils.py'),
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'tinytorch.core.utils.SystemInfo.__str__': ( 'setup/setup_dev.html#systeminfo.__str__',
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'tinytorch/core/utils.py'),
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'tinytorch.core.utils.SystemInfo.is_compatible': ( 'setup/setup_dev.html#systeminfo.is_compatible',
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'tinytorch/core/utils.py'),
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'tinytorch.core.utils.add_numbers': ('setup/setup_dev.html#add_numbers', 'tinytorch/core/utils.py'),
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'tinytorch.core.utils.hello_tinytorch': ( 'setup/setup_dev.html#hello_tinytorch',
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'tinytorch/core/utils.py')}}}
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